How do Python package managers compare?

What are the main differences between pip and conda?

Pip is the package manager for Python packages, while Conda is a package manager for any language, including Python. Pip installs packages from the Python Package Index (PyPI), whereas Conda installs packages from its own repository, which can include binaries.

Which one should I use for data science projects?

For data science, many prefer Conda because it handles dependencies and environments more effectively, especially for packages that require non-Python libraries.

Can I use both pip and conda in the same project?

Yes, but it's recommended to use one as the primary package manager to avoid conflicts. If you use both, be cautious about managing dependencies.

What are some common commands for each package manager?

For pip, common commands include pip install package_name and pip uninstall package_name. For conda, you would use conda install package_name and conda remove package_name.